Metadata-Version: 1.0
Name: random-variable
Version: 0.2
Summary: A library for computing expectation values
Home-page: https://github.com/mdipierro/random_variable
Author: Massimo DiPierro
Author-email: massimo.dipierro@gmail.com
License: BSD
Description: ## What?
        
        Implements the standard math syntax for expectation values of random variables on finite sets
        
        ## How?
        
        This is best explained with an example:
        
        ```
        # import the objects
        from random_variable import RandomVariable, E
                 
        # define a universe for example the possible outcomes of a dice
        dice = [1, 2, 3, 4, 5, 6]
        
        # define one random variable
        X = RandomVariable(dice)
        
        # compute and print expectation values
        print('mean:', E[X])
        print('one minus mean:', E[1-X])
        print('twice the mean:', E[X*2])
        print('variance:', E[(X-E[X])**2])
        print('variance again:', E[X**2]-E[X]**2)
        print('standard deviation:', (E[X**2]-E[X]**2)**0.5)
        print('skewness:', E[(X-E[X])**3]/E[(X-E[X])**2]**1.5)
        print('kurtosis:', E[(X-E[X])**4]/E[(X-E[X])**2]**2)
        print('some other complex expectation value:', E[sin(2*X)*cos(X+1)])
        ```
        
        (works in both python 2 and python 3)
        
        ## License
        
        BSD v3 - Created by Prof. Massimo Di Pierro (DePaul Universty) 2018
        
        
Keywords: expectation values random variables
Platform: UNKNOWN
